AVP - SAS, SQL or Python commercial modellingCity of London based Lean, innovative FinTech house with bottom-line drive searching for candidates with great comms, exceptional tangible drive to get under the bonnet of all MI/impacts to their full p&lBanking & Financial Services remit or Blue-Chip backgroundClient DetailsAVP - SAS, SQL or Python commercial modellingCity of London based Lean, innovative FinTech house with bottom-line drive (Payments, Digital, Cards).Highly profitable, fast pacedBanking & Financial Services remit or Blue-Chip backgroundDescriptionAVP - SAS, SQL or Python commercial modellingCity of LondonAn exciting opportunity to work for a fast-paced, innovative speciality finance company, this role is part of a small, highly skilled team that partners with stakeholders across finance and the wider business including the Treasury, Commercial and Credit Risk teams. This role is ideally suited to a candidate looking to work and develop in a dynamic, "hands-on" environment, with involvement across a broad range of financial planning, analysis, project work, and new business initiatives. It also provides the opportunity to engage with multiple stakeholders across Finance and the business, including executive management. The candidate will ideally have a strong accounting / "big 4" background and some experience of planning tools such as Anaplan. The candidate will be a self-starter, comfortable operating with autonomy and engaging with senior stakeholders.Financial planning: * Be the Anaplan lead "architect" - provide leadership to the Finance team to (1) ensure consistency of modelling approach across the P&L, Balance Sheet and Cash flow; (2) be a subject matter expertise to Finance colleagues on Anaplan models; (3) own and lead the agenda for future modelling developments * Play a key role in the preparation of the Company's annual Budget and major strategic forecasts by helping to deliver a coherent, integrated multi-year forecast across the P&L, Balance Sheet and Cash flow * Support the preparation of the long-term cash flow and liquidity forecasts taking account of portfolio leverage, debt issuance and working capital requirements. Provide analysis and insight to senior stakeholders including the Group CFOStress testing and Scenario analysis: * Support the Groups stress testing and scenario analysis, including macro scenarios and working with teams across the business to develop PRA style stress testing * Support the preparation and review of the monthly 18 month corporate cash and liquidity projections and stress scenarios * Review and validate the 3 financial statement outputs and corporate KPIs and present back to senior managementAd-hoc analysis * Preparation of financial analysis or modelling for ad-hoc queries from senior management, the Executive Committee or Shareholders * Support the Quarterly bond investor reporting by providing analysis and insight and assisting on the preparation of Q&A material for the Group CEO and Group CFOTeam Leadership and Support: * Support the monthly management reporting process through participation in the review & challenge process and providing supporting analysis as requiredProfile* Demonstrable experience in a modelling role, working with commercial business teams on the revenue/assets side * Strong SAS /SQL / Python (incl. statistical and reference functions) - at least one of these a must have ! * Proven skills in the application of forecasting methodologies/tools used for planning * Ability to generate commercial insight from raw data * At least a 2.1 degree in a highly numerical discipline such as Economics, Operations research, Finance, Statistics, Engineering or similar * Strong communication and presentation skills, including the ability to present information in a clear and concise fashion to senior managementJob Offer* Base from £55,000 to £65,000 * Excellent company benefits package * Exceptional office environment and lean team with great profile * Competitive bonus system

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Michael Page has four decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.